Evaluation Engineering for RAG Systems and AI Agents

Verinika helps IT partners turn expected system behaviour into versioned datasets, measurable criteria, reproducible findings and reusable test coverage for future changes.

RAG & Knowledge Assistant Evaluation

Test retrieval, grounding, citations, completeness, abstention and source boundaries across representative and adversarial queries.

Explore RAG Evaluation

AI Agent & Tool-Use Evaluation

Test task completion, trajectories, tool selection, arguments, permissions, state, handoffs and recovery behaviour.

Explore Agent Evaluation

Evaluation Baseline Sprint

Establish a defensible baseline, diagnose material failures and deliver reusable quality tests for future releases.

Discuss a Baseline Sprint

Adversarial Evaluation

Where relevant, we add targeted adversarial scenarios — prompt injection, manipulated context, unsafe tool requests and sensitive-information exposure — to any RAG or agent evaluation engagement.

Learn more about adversarial evaluation

Supporting Capabilities

Techniques we combine depending on the system, scope and maturity of the evaluation.

Deterministic checks

LLM-as-a-judge

Human calibration

Trace grading

Multi-turn simulation

Adversarial evaluation

Comparison with previous test runs

Latency and cost analysis

Voice AI Evaluation

We also evaluate voice AI pipelines — recognition, turn-taking, data capture, tool execution and handoffs. Learn more →

Ready to Evaluate the Systems You Deliver?

Tell us what your team is building and what must be demonstrated before the next client or release decision.

Discuss a Partner Pilot